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Statistical Analysis and Research using Excel

EdSolver Learning

Statistical Analysis and Research using Excel is a blended learning program of theoretical knowledge with its application in Microsoft Excel software. This course is a base to all the analytical studies and research studies. It is focused on more industry relevant examples and situations, where in you learn how you actually need to apply your research and analytical skills at workplace. This can also be considered as a foundation course if you are looking out for higher education in research and analytics.

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Statistical Analysis and Research using Excel is a blended learning program of theoretical knowledge with its application in Microsoft Excel software. This course is a base to all the analytical studies and research studies. It is focused on more industry relevant examples and situations, where in you learn how you actually need to apply your research and analytical skills at workplace. This can also be considered as a foundation course if you are looking out for higher education in research and analytics.

From the work perspective, this course is more suitable to jobs for data engineering, data analyst and marketing research jobs.

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Read about what's good
what should give you pause
and possible dealbreakers
Builds a strong foundation for beginners in statistical analysis and research
Teaches skills, knowledge, and tools that are highly relevant to industry
Uses Microsoft Excel software, which is standard in industry
Uses more industry relevant examples and situations
Can be considered as a foundation course for higher education in research and analytics

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Reviews summary

Practical statistical analysis with excel

According to the course description, learners can expect a largely positive experience focused on practical application of statistical analysis using Microsoft Excel. It provides a strong foundation for analytical and research studies, emphasizing industry-relevant examples. This course is designed to equip students with workplace-applicable skills, particularly useful for those targeting data analyst, data engineering, or marketing research jobs, or as a base for higher education in analytics.
Provides a solid base for further analytical studies and higher education.
"This served as an excellent base for understanding analytical and research studies, providing a clear starting point."
"I gained a strong foundation in statistics that seems perfectly suitable for pursuing higher education in research."
"The course clarifies core concepts, making it a very good starting point for anyone new to statistical analysis."
Develops skills directly applicable to data analyst and research roles.
"The industry-relevant examples are crucial for understanding how to apply these statistical skills effectively at my workplace."
"I found the course directly applicable to data analyst and marketing research jobs, enhancing my professional profile significantly."
"This training prepared me for applying analytical skills in a professional setting, which is a major boost to my career prospects."
Focuses on applying statistical theory using Microsoft Excel.
"I appreciate the focus on how to actually apply statistical concepts directly within Excel for practical scenarios."
"This course helps me apply theoretical knowledge using Microsoft Excel software for real-world situations, which is very helpful."
"It's great to learn statistical analysis with the direct application in Excel, as this is practical for my job and daily tasks."
Primarily a foundational course; may not cover advanced topics.
"As a 'base' course, I assume it covers fundamentals well but might lack depth in very advanced statistical techniques."
"While excellent for foundations, I anticipate needing additional resources for tackling highly complex statistical challenges."
"I expect it's highly focused on Excel, and may not explore other statistical software beyond this platform extensively."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Statistical Analysis and Research using Excel with these activities:
Organize course notes and materials for future reference.
Organize your course notes, assignments, and resources for easy access and review during and after the course.
Show steps
  • Create a system for organizing notes and materials.
  • Regularly add to and update your organizational system.
  • Review your organized materials periodically for reinforcement.
Review basic statistical formulas.
Refresh your memory on fundamental statistical formulas before starting the course materials.
Show steps
  • Revisit common measures of central tendency.
  • Review probability distributions.
  • Practice applying hypothesis testing.
Complete practice problems from introductory statistics books.
Sharpen your statistical analysis skills by practicing with exercises from various textbooks.
Show steps
  • Select textbooks with practice problems relevant to the course material.
  • Work through practice problems regularly.
  • Check your solutions against provided answers or consult with peers or instructors.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join or form a study group with classmates.
Enhance your understanding and retention by collaborating with peers in a study group.
Show steps
  • Find classmates who are interested in forming or joining a study group.
  • Establish a regular meeting schedule and format.
  • Take turns presenting concepts, leading discussions, and working on problems together.
Practice Data Analysis Techniques
Put your analytical skills to the test by solving various data analysis exercises to solidify your understanding.
Browse courses on Statistical Analysis
Show steps
  • Identify a dataset
  • Apply statistical techniques to analyze the data
  • Interpret the results and draw conclusions
Participate in online statistical analysis simulations.
Engage in interactive simulations to reinforce concepts and build confidence in applying statistical methods.
Show steps
  • Identify online platforms or software that offer statistical simulations.
  • Select simulations aligned with the course topics.
  • Complete simulations multiple times to improve understanding.
Attend an Excel Data Analysis Workshop
Gain hands-on experience and expert guidance by attending a workshop tailored to enhancing your Excel data analysis skills.
Browse courses on Data Analysis Tools
Show steps
  • Identify a relevant workshop
  • Register and attend the workshop
  • Actively participate in exercises and discussions
Explore advanced statistical analysis techniques through online tutorials.
Expand your knowledge and skills by exploring advanced statistical analysis techniques through online resources.
Show steps
  • Identify reputable websites or platforms offering tutorials on advanced statistical analysis.
  • Select tutorials that align with your interests and course objectives.
  • Follow the tutorials and practice the concepts and techniques presented.
Develop a Data Analysis Case Study
Apply your statistical knowledge and Excel skills to a practical problem by creating a comprehensive data analysis case study that demonstrates your abilities.
Show steps
  • Define the research question
  • Gather and analyze data
  • Present your findings
Develop a data visualization project using Excel.
Create a data visualization project that demonstrates your proficiency in using Excel to analyze and present data.
Show steps
  • Gather and prepare a dataset relevant to the course content.
  • Design and implement data visualizations using Excel.
  • Write a report that interprets the findings from your data visualization.

Career center

Learners who complete Statistical Analysis and Research using Excel will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts leverage statistical analysis and research to extract meaningful insights from data. This course provides a comprehensive foundation in statistical concepts and Excel skills, essential for success in this role. By mastering the techniques taught in this course, individuals can effectively analyze data, draw conclusions, and make data-driven decisions in a variety of industries.
See salaries and explore the career path for Data Analyst
Market Research Analyst
Market Research Analysts employ statistical analysis to gather and interpret data about consumer behavior and market trends. This course provides a strong foundation in statistical methods and Excel techniques, equipping individuals with the skills to conduct market research surveys, analyze data, and prepare insightful reports.
See salaries and explore the career path for Market Research Analyst
Data Scientist
Data Scientists utilize statistical analysis and research to build predictive models and solve complex data-related problems. This course provides a comprehensive introduction to statistical concepts and Excel skills, which serve as a foundation for further data science studies and job roles.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts leverage statistical analysis and research to identify and solve business problems. This course provides a practical understanding of statistical methods and Excel techniques, enabling individuals to enhance their problem-solving abilities and contribute effectively to business decision-making.
See salaries and explore the career path for Business Analyst
Financial Analyst
Financial Analysts utilize statistical analysis and research to evaluate and forecast financial performance. This course provides a strong foundation in statistical methods and Excel skills, enabling individuals to analyze financial data, build financial models, and make informed investment decisions.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts apply statistical analysis and research to optimize business processes and operations. This course provides a solid foundation in statistical techniques and Excel skills, enabling individuals to develop and implement analytical models that enhance operational efficiency and profitability.
See salaries and explore the career path for Operations Research Analyst
Biostatistician
Biostatisticians leverage statistical analysis and research to design and analyze medical studies. This course provides a fundamental understanding of statistical concepts and Excel skills, which serve as a cornerstone for further studies in biostatistics and a career in the healthcare industry.
See salaries and explore the career path for Biostatistician
Epidemiologist
Epidemiologists utilize statistical analysis and research to investigate and control the spread of diseases. This course provides a solid foundation in statistical methods and Excel skills, equipping individuals with the tools to analyze epidemiological data, identify risk factors, and develop strategies for disease prevention.
See salaries and explore the career path for Epidemiologist
Quantitative Researcher
Quantitative Researchers leverage statistical analysis and research to analyze financial and economic data. This course provides a comprehensive introduction to statistical concepts and Excel skills, which serve as a foundation for a successful career in quantitative research.
See salaries and explore the career path for Quantitative Researcher
Actuary
Actuaries utilize statistical analysis and research to assess and manage financial risks. This course provides a solid foundation in statistical concepts and Excel skills, which are essential for developing actuarial models and making informed risk-related decisions.
See salaries and explore the career path for Actuary
Statistician
Statisticians leverage statistical analysis and research to uncover patterns and insights from data. This course provides a comprehensive introduction to statistical concepts and Excel skills, which are fundamental for a career in statistics.
See salaries and explore the career path for Statistician
Data Engineer
Data Engineers leverage statistical analysis and research to design and implement data pipelines and systems. This course provides a foundation in statistical concepts and Excel skills, which are valuable for understanding data structures and developing efficient data management solutions.
See salaries and explore the career path for Data Engineer
Software Engineer
Software Engineers may utilize statistical analysis and research to develop software applications that leverage data analysis and statistical techniques. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for certain software engineering roles involving data analysis.
See salaries and explore the career path for Software Engineer
Database Administrator
Database Administrators may utilize statistical analysis and research to optimize database performance and data integrity. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for understanding data structures and developing efficient database management strategies.
See salaries and explore the career path for Database Administrator
Project Manager
Project Managers may utilize statistical analysis and research to track project progress, identify risks, and allocate resources. This course provides a foundation in statistical concepts and Excel skills, which can be valuable for understanding project data and making informed project management decisions.
See salaries and explore the career path for Project Manager

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Statistical Analysis and Research using Excel.
Cover image
Factor Analysis and Dimension Reduction in R
Save
Great resource for those who want to learn how to use Excel for regression analysis. It covers the entire process of modeling, from hypothesis development to effect interpretation.
Factor Analysis and Dimension Reduction in R: A...
Paperback
$$$
Factor Analysis and Dimension Reduction in R: A...
Kindle Edition
$$$
Cover image
QuickBooks 2019 All-in-One For Dummies
Save
Is perfect for absolute beginners in data analysis using Excel. It provides a comprehensive overview of the basic concepts and techniques of data analysis.
QuickBooks 2019 All-in-One For Dummies (For Dummies...
Kindle Edition
$$
Cover image
Statistics for Economics, Accounting and Business...
Save
Great resource for those who want to learn more about the practical applications of statistics in business. It covers a wide range of topics, from data visualization to forecasting.
Statistics for Economics, Accounting and Business...
Paperback
$$$
Essentials of Statistics for Business & Economics
Save
Great resource for those who want to learn more about the fundamental concepts of statistics. It covers a wide range of topics, from probability to hypothesis testing.
Essentials of Statistics for Business & Economics
Paperback
Check
Essentials of Statistics for Business & Economics
Kindle Edition
Check
Cover image
Bayesian Data Analysis, Third Edition
Save
Great resource for those who want to learn more about Bayesian data analysis. It covers a wide range of topics, from the basics of Bayesian inference to advanced sampling techniques.
Bayesian Data Analysis (Chapman & Hall/CRC Texts in...
Kindle Edition
$$$$
Cover image
Machine Learning with R
Save
Great resource for those who want to learn more about machine learning using R. It covers a wide range of topics, from supervised learning to unsupervised learning.
Machine Learning with R - Fourth Edition: Learn...
Paperback
$$
Machine Learning with R - Second Edition: Expert...
Kindle Edition
$$
Machine Learning with R - Third Edition: Expert...
Paperback
$$
(Italiano) Machine Learning con R: Conoscere le tecniche per...
Kindle Edition
$$
R: Unleash Machine Learning Techniques
Kindle Edition
$$$
Machine Learning with R: Learn How to Use R to...
Paperback
$$
(中文) Machine learning and R language (3rd edition of the...
Paperback
$$
Cover image
Deep Learning with Python, Second Edition
Save
Great resource for those who want to learn more about deep learning using Python. It covers a wide range of topics, from the basics of deep learning to advanced architectures.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$

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Time
12 hours
Via
Udemy
Instructor
EdSolver Learning
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Builds a strong foundation for beginners in statistical analysis and research
Teaches skills, knowledge, and tools that are highly relevant to industry
Uses Microsoft Excel software, which is standard in industry
Uses more industry relevant examples and situations
Can be considered as a foundation course for higher education in research and analytics
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